NDLI: A Novel Method for Splice Sites Recognition Using Comprehensive Information

Content Provider	IEEE Xplore Digital Library
Author	Kejun Wang Junjie Lv Weixing Feng Xin Wang
Copyright Year	2010
Abstract	To identify splice sites more accurately and efficiently, a method for the recognition of splice sites based on comprehensive information is proposed. By analyzing the splicing signals, splicing sequences, secondary structures of flank sequence, different splicing factor mechanism of action and other characteristics of donor sites and acceptor sites, donor sites identification signal model, acceptor sites identification signal model, donor sites identification sequence model, acceptor sites identification sequence model were built respectively. Then the Mfold package in Vienna soft was used to predict the most stable secondary structure of flank sequences. The traditional four-letter alphabet was converted into eight-letter alphabet sequence. The sequence-structure combination strings were used for training signal models, sequence models, then recognized splice sites by the well trained models. Our results show that the accuracy of splice site recognition is greater than 95%, suggesting that the method has great potential to achieve a good performance for splice sites identification.
Starting Page	986
Ending Page	989
File Size	421032
Page Count	4
File Format	PDF
ISBN	9781424480432
DOI	10.1109/PCSPA.2010.243
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Splicing Biological system modeling Hidden Markov models Splice sites Splicing sequences Artificial neural networks Tin Predictive models Splicing signals Secondary structure Alternative splice
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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